We live in the world of data and knowledge. Every business is looking for processing this humongous data and get valuable insights. This makes Data Science is one of the most sought-after skills in the market.
This Data Science course starts with the basics of statistics and probability. It covers key aspects of data science like machine learning algorithms, deep learning, big data, machine learning using big data, business intelligence, and so on. Primary implementation would be covered using the Python programming language. At the end of the course, the learner will be able to do a hands-on project on data science applying all the tools and techniques they have learned during the training course.
Prerequisites
Build strong skills for data scientist, data analytics role for the real industry environment.
Facilitate preparation for in demand job roles in latest technology domains like analytics, big data, IoT etc.
Prepare you for job competencies required to handle data processing, analytics, data visualization effectively.
Promises growing career in latest technologies like Big Data, machine learning, AI, Data Science.
Accelerate your professional and financial growth by honing your skills in data analytics which are in demand for Today’s job market.
Introduction to Python
Introduction
Environment Setup
Anaconda Package Manager
Python Basics
Python Functions
Python NumPy
Pandas
Statistics and Probability
Statics Basics
Mean, Median, Mode
Variation and Standard deviation
Data distributions
Percentiles
Covariance and Correlation
Probability
Conditional probability
Regression: Linear and Polynomial
Machine Learning
Supervised Learning
Unsupervised Learning
Bayesian Algorithm
K-means Clustering
Ensemble learning
Support vector machines
Recommender Systems
User-based collaborative filtering
Item based collaborative filtering
K-nearest neighbors
ML on Big Data
Introduction to Big Data
Introduction to Hadoop
Working with HDFS
Introduction to Apache Spark
Spark RDD
Introducing MLLib
Decision tree in Spark
K-means clustering in Spark
Apache Mahout
Deep Learning Pre-requisites
Introduction to Deep Learning
Introduction to Tensorflow
Deep learning tools.
BI
Introduction to ETL
Introduction to Datawarehousing
Introduction to BI
Various BI Tools
BI using Tableau
Introduction to Matplotlib (Python)
Introduction to R
Project work
Project-based on tools and techniques learnt during the course
Mujaheed Sir seems to be a very good teacher, he clears doubts & is focused on the practical knowledge. He expects everyone to perform commands while teaching. Overall Sir teaches nicely.-Chetan Nair
Thank you very much for your help and giving us the best teacher for Linux. I really appreciate the way of teaching used by Sneha Mam. She is one of the best teacher I have ever met, virtually. She always uses to explain each and every topic in detail, that helps us to understand the uses and the function of the topic. She also uses examples to give better understanding. However, If someone have any doubts or don't understand the topic she use different - different way to clear the doubts. After completing the topic, she also uses to give us the assignments. I am thankful that I got the best teacher like her.-Sushant
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